Instructions to use memo360/mabruma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use memo360/mabruma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("memo360/mabruma") prompt = "A futuristic cyberpunk cityscape at midnight where a translucent holographic jellyfish floats above neon skyscrapers, zmabruma, cinematic lighting, 8k resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from memo360/mabruma: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/memo360/mabruma/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://memo360/mabruma/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/memo360/mabruma/resolve/main/checkpoint-500/optimizer.bin
195 MB
- Xet hash:
- c8d2cbb3026659c08148a3238bfe9b33867986a6aea80b8410826afea3c60162
- Size of remote file:
- 195 MB
- SHA256:
- cdb638ba4fa237d09c9adea358cfd99f8c8f39a23e21eb25777ff3ddefedee23
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